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classify

Categorize text into specified labels using zero-shot classification without prior training.

Instructions

Zero-shot классификация текста по заданным меткам.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesТекст для классификации
modelNoМодель для классификацииyandexgpt-lite
labelsYesМассив меток для zero-shot классификации
instructionNoДополнительная инструкция для классификатора
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, and description lacks behavioral details (e.g., result format, performance, restrictions). The description does not disclose side effects, rate limits, or authorization needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, no wasted words, front-loaded. Perfectly concise for a straightforward tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has 4 parameters and no output schema, yet description is too brief. It omits return value, error handling, and typical use cases. Complete description would include expected output format.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. Description adds no extra meaning beyond the schema; it does not explain how parameters interact or format expectations.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it performs zero-shot text classification based on given labels. While concise, it specifies the verb (classify) and resource (text) and distinguishes from siblings like summarize or embed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives such as complete or embed_text. Agent has no context for choosing classify over siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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